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ncdu VS Plotly

Compare ncdu VS Plotly and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

ncdu logo ncdu

A disk usage analyzer with an ncurses interface, aimed to be run on a remote server where you...

Plotly logo Plotly

Low-Code Data Apps
  • ncdu Landing page
    Landing page //
    2023-05-10
  • Plotly Landing page
    Landing page //
    2023-07-31

ncdu features and specs

  • User-friendly Interface
    Ncdu provides a text-based user interface which is easy to navigate and offers clear, color-coded disk usage visualization.
  • Speed
    Ncdu is designed to be fast and efficient, able to quickly scan and index disk usage information even on large file systems.
  • Low Resource Consumption
    The application consumes minimal system resources, making it suitable for use on systems with limited resources.
  • Interactive
    Ncdu allows users to interactively browse through directories, delete files, and drill down to see detailed disk usage statistics.
  • Portability
    Ncdu is available for multiple platforms, including Linux, BSD, macOS, and Windows, making it versatile across different environments.
  • Open Source
    Being an open-source tool, users can freely inspect the code, suggest features, and contribute to the project.
  • Remote System Compatibility
    Ncdu can be used over SSH, which makes it convenient for managing disk usage on remote servers.

Possible disadvantages of ncdu

  • Limited Advanced Features
    Ncdu primarily focuses on disk usage analysis and lacks some advanced features found in other tools such as detailed file metadata or advanced filtering options.
  • Text-based Interface Limitation
    While the text-based interface is quick and efficient, it may not be as intuitive or visually appealing as GUI-based disk usage analyzers for some users.
  • No Built-in Reporting
    Ncdu does not offer built-in functionality for generating comprehensive reports. Users have to manually compile data if detailed reports are needed.
  • Potential Learning Curve
    Beginners or users unfamiliar with command-line tools may find it challenging to get started and utilize all of ncdu's features effectively.
  • Lack of Detailed Visualization
    While ncdu offers a visual representation of disk usage, it doesn't provide more advanced visualizations like pie charts or graphs.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of ncdu

Overall verdict

  • Yes, ncdu is considered a good tool for disk usage analysis due to its efficiency, speed, and ease of use. It is well-suited for users who want a lightweight and straightforward solution without the need for graphical interfaces.

Why this product is good

  • ncdu (NCurses Disk Usage) is a disk usage analyzer with an ncurses interface. It is designed to provide a fast and easy way to view and manage disk space usage on your system. With its simple text-based interface, you can quickly navigate directories and identify which files or directories are consuming the most space. This tool is particularly useful for system administrators and users who prefer working in a terminal environment.

Recommended for

  • System administrators who need to quickly identify disk space usage issues.
  • Users who prefer command-line tools over graphical user interfaces.
  • Anyone managing servers or computers remotely through SSH.
  • Those looking for a lightweight and efficient way to manage disk space on Unix-like systems.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

ncdu videos

+ Add

ncdu - NCurses Disk Usage Utility - Linux TUI

More videos:

  • Review - Lubuntu Screencast: Showing size of folders with du and ncdu
  • Review - Terminal File Manager - Amazing file manager in Terminal NCDU

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to ncdu and Plotly)

ncdu

Plotly

Disk Analyzer
100 100%
Disk Analyzer
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Hard Disk Usage
100 100%
Hard Disk Usage
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ncdu and Plotly

ncdu Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Plotly might be a bit more popular than ncdu. We know about 34 links to it since March 2021 and only 24 links to ncdu. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ncdu mentions (24)

  • Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
    Something like https://dev.yorhel.nl/ncdu with ("brew install ncdu") is great if you are okay with the command line. It's very annoying to drill down in the Finder especially if it's hidden directories. - Source: Hacker News / 6 months ago
  • How to clean your virtual server (VPS)
    For an even more detailed analysis, take a look at tools such as ncdu, a disk usage viewer in terminal mode. - Source: dev.to / over 1 year ago
  • Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
    These certainly aren't forgotten, but I like: * `ranger` file manager: https://ranger.github.io/ * `ncdu` for visualising disk usage: https://dev.yorhel.nl/ncdu * `htop` process monitor: https://htop.dev/ I just find them very intuitive, and information-dense while not being overwhelming. - Source: Hacker News / over 2 years ago
  • What’s using my drive space?
    There are also more user-friendly and interactive tools to do this. I use and like ncdu, but there are others, such as duc. Source: about 3 years ago
  • The Most Useful Command Line Tools (2023 edition)
    In the same way of Dust, there is also NCDU which is an NCruses-based du interface, i.e. interactive. Source: over 3 years ago
View more

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing ncdu and Plotly, you can also consider the following products

Baobab Disk Usage Analyzer - Baobab Disk Usage Analyzer is one of the light-weight disk analyzers that offers you a chance to view and monitor the disk usage & folder structure without any hassle.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

DiskUsage - DiskUsage provides a way to find out which files and directories on the SD card of your Android...

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

WinDirStat - WinDirStat is a disk usage statistics viewer and cleanup tool, inspired by KDirStat.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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